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dc.contributor.author
Salvaro, Mattia
dc.contributor.author
Benatti, Simone
dc.contributor.author
Kartsch, Victor
dc.contributor.author
Guermandi, Marco
dc.contributor.author
Benini, Luca
dc.date.accessioned
2018-12-20T15:32:58Z
dc.date.available
2018-08-27T07:56:46Z
dc.date.available
2018-08-27T11:29:23Z
dc.date.available
2018-10-31T11:39:29Z
dc.date.available
2018-12-20T15:32:58Z
dc.date.issued
2019
dc.identifier.issn
2327-4662
dc.identifier.other
10.1109/JIOT.2018.2866341
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/284599
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
A Minimally Invasive Low-Power Platform for Real-Time Brain Computer Interaction based on Canonical Correlation Analysis
en_US
dc.type
Journal Article
dc.date.published
2018-08-20
ethz.journal.title
IEEE Internet of Things Journal
ethz.size
10 p.
en_US
ethz.identifier.scopus
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-08-27T07:56:51Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
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